# Knowledge Integration and Diffusion: Measures and Mapping of Diversity and Coherence

arXiv: https://arxiv.org/abs/1412.6683 · HTML: https://mlsanity.com/paper/1412.6683/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 20 Dec 2014.

## Built on by (most cited first, 1 of 1)

- [CERN for AI: A Theoretical Framework for Autonomous Simulation-Based Artificial Intelligence Testing and Alignment](https://mlsanity.com/paper/2312.09402/) (2023)

## Abstract (arXiv)

I present a framework based on the concepts of diversity and coherence for the analysis of knowledge integration and diffusion. Visualisations that help understand insights gained are also introduced. The key novelty offered by this framework compared to previous approaches is the inclusion of cognitive distance (or proximity) between the categories that characterise the body of knowledge under study. I briefly discuss the different methods to map the cognitive dimension.